ABSTRACT
Objective:To compare the early and late predictive values of critical illness score (CIS) and procalcitonin (PCT) in septic patients with blood stream infection (BSI) induced by intra-abdominal infection (IAI), and to identify the value of PCT in etiological diagnosis.Methods:The clinical data of patients with at least one positive blood culture within 24 hours admission to the emergency department of China-Japan Friendship Hospital from January 2014 to December 2019 and with final diagnosis of IAI induced sepsis were enrolled. Sequential organ failure assessment (SOFA), mortality in emergency department sepsis (MEDS), Logistic organ dysfunction system (LODS), and acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) scores were calculated based on the parameters on the day of admission. Differences in various indicators among different Gram-stained bacterial infections and among patients with different prognosis at 28 days or 60 days were compared. Receiver operator characteristic curve (ROC curve) was used to analyze the value of PCT in differential etiological diagnosis of IAI induced sepsis caused by single bacterial infection, and the predictive value of CIS and PCT on 28-day and 60-day death of septic patients with BSI induced by IAI.Results:A total of 221 septic patients with IAI caused by single bacterial infection were enrolled. The 28-day mortality was 19.9% (44/221), and the 60-day mortality was 25.8% (57/221). Mortality caused by Gram-positive (G +) bacterial infection of patients was significantly higher than that caused by Gram-negative (G -) bacterial infection (28 days: 34.6% vs. 11.4%, 60 days: 42.0% vs. 16.4%, both P < 0.01). Compared with patients with G + bacterial infection, the PCT value of patients with G - bacterial infection was higher [μg/L: 4.31 (0.71, 25.71) vs. 1.29 (0.32, 10.83), P < 0.05]. Compared with survival group, the values of CIS and PCT in death group were higher, either in 28 days or in 60 days [death group vs. survival group in 28 days: SOFA score was 6.0 (4.0, 10.0) vs. 3.0 (2.0, 5.0), MEDS score: 11 (9, 14) vs. 6 (6, 9), LODS score: 4.0 (2.0, 6.0) vs. 1.0 (0, 2.0), APACHEⅡ score: 17.0 (15.0, 24.0) vs. 12.0 (8.0, 15.0), PCT (μg/L): 3.48 (1.01, 26.70) vs. 2.45 (0.32, 15.65); death group vs. survival group in 60 days: SOFA score: 6.0 (4.0, 10.0) vs. 3.0 (2.0, 5.0), MEDS score: 9 (6, 14) vs. 6 (6, 9), LODS score: 4.0 (1.0, 5.0) vs. 1.0 (0, 2.0), APACHEⅡ score: 16.5 (12.0, 20.0) vs. 12.0 (8.0, 15.0), PCT (μg/L): 2.67 (0.98, 17.73) vs. 2.22 (0.31, 16.75); all P < 0.05]. ROC curve showed that: ① the area under ROC curve (AUC) of PCT in the diagnosis of IAI induced sepsis with single bacterial infection was 0.740 [95% confidence interval (95% CI) was 0.648-0.833]. When the optimal cut-off value of PCT was 1.82 μg/L, the sensitivity of diagnosis of G - bacterial infection was 74.0%, and the specificity was 68.2%. When PCT value was higher than 10.92 μg/L, the specificity of diagnosis of G - bacterial infection could reach 81.8%. ② In the prediction of 28-day and 60-day mortality for septic patients with BSI induced by IAI, the APACHEⅡ score achieved the highest AUC [28 days: 0.791 (95% CI was 0.680-0.902), 60 days: 0.748 (95% CI was 0.645-0.851)]. APACHEⅡ score higher than 14.5 could help to predict 28-day and 60-day mortality for IAI patients with negative predictive values of 94.9% and 88.5%. However, the predictive value of PCT for septic patients with BSI induced by IAI was relatively lower [28-day AUC: 0.610 (95% CI was 0.495-0.725), 60-day AUC: 0.558 (95% CI was 0.450-0.667)]. Conclusion:PCT is more reliable in the identification of pathogen type among IAI induced sepsis with BSI, while APACHEⅡ score may perform better in predicting early and late mortality.
ABSTRACT
Objective:To investigate clinicians' compliance with the 2018 Surviving Sepsis Campaign (SSC) update "1-hour sepsis Bundle therapy" (1-hour Bundle) when treating patients with Sepsis 3 in the intensive care unit (ICU), and to analyze its impact on patient outcomes.Methods:A multicenter, prospective observational cohort study was conducted. A total of 153 ICU patients in Ziyang First People's Hospital, Ziyang People's Hospital and Yanjiang District People's Hospital who were diagnosed of sepsis by the definition and diagnostic criteria of Sepsis 3 from January 2019 to December 2020 were selected. Among them, 95 patients who had completed 1-hour Bundle were divided into the Bundle compliance group. 58 patients who did not complete the Bundle within 1 hours were classified as the Bundle non-compliance group. The distribution of pathogenic bacteria and infected sites, 1-hour Bundle compliance and 28-day survival in the 3 hospitals were analyzed. Univariate analysis was used to analyze the risk factors affecting the prognostic between the two groups of sepsis patients. Cox regression model was used to draw a 28-day survival curve to evaluate the survival of the patients in the two groups.Results:Among 153 sepsis patients in 3 hospitals, the detection rate of pathogenic bacteria was 61.44% (94/153), and Gram-negative bacteria accounted for 79.79% (75/94). The top 3 infection sites were respiratory system, gastrointestinal tract and urinary system, accounted for 32.0%, 28.1% and 18.3%, respectively. In the 3 hospitals, 62.09% (95/153) of patients fully implemented the 1-hour Bundle. The poorly implemented indicators in the 1-hour Bundle were 1-hour blood microbial culture [77.78% (119/153)] and 1-hour antimicrobial application [79.74% (122/153)]. There was no significant difference in the baseline indicators between Bundle compliance and non-compliance groups. Univariate analysis showed that the main prognostic indicators: 28-day survival rate in the Bundle compliance group was significantly higher than that in the Bundle non-compliance group [80.00% (76/95) vs. 62.06% (36/58), χ2= 6.447, P = 0.014]. Secondary evaluation indicators: mean arterial pressure (MAP) at 6 hours and 24 hours in the Bundle compliance group were significantly higher than those in the Bundle non-compliance group [mmHg (1 mmHg = 0.133 kPa): 78.22±11.25 vs. 69.86±14.04, 79.78±11.45 vs. 75.35±12.90]. However, the median length of in hospital stay in the Bundle compliance group was significantly longer than that in the Bundle non-compliance group [days: 13 (17) vs. 6 (11)], with statistically significant differences (all P < 0.05). Bivariate Logistic regression analysis showed that 6 hours and 24 hours MAP were risk factors affecting the prognosis of patients with sepsis [odds ratio ( OR), 95% confidence interval (95% CI): 1.064 (0.994-1.102), 1.032 (1.003-1.063), both P < 0.05]. Conclusions:The 1-hour Bundle compliance rate of ICU patients with sepsis in 3 hospitals of Ziyang City was 62.09%, and the compliance is still to be improved, especially for the 2 aspects of empirical antimicrobial use and microbial culture retention before antimicrobial use. The 28-day survival rate in the Bundle compliance group was significantly higher than that in the Bundle non-compliance group, suggesting that the 1-hour Bundle regimen can improve the prognosis of patients with sepsis.
ABSTRACT
Sepsis remains a major cause of morbidity and mortality worldwide, with increased burden in low- and middle-resource settings. The role of the inflammatory response in the pathogenesis of the syndrome has supported the modern concept of sepsis. Nevertheless, a definition of sepsis and the criteria for its recognition is a continuous process, which reflects the growing knowledge of its mechanisms and the success and failure of diagnostic and therapeutic interventions. Here we review the evolving concepts of sepsis, from the "systemic inflammatory response syndrome triggered by infection" (Sepsis-1) to "a severe, potentially fatal, organic dysfunction caused by an inadequate or dysregulated host response to infection" (Sepsis-3). We focused in the pathophysiology behind the concept and the criteria for recognition and diagnosis of sepsis. A major challenge in evaluating the host response in sepsis is to characterize what is protective and what is harmful, and we discuss that, at least in part, the apparent dysregulated host response may be an effort to adapt to a hostile environment. The new criteria for recognition and diagnosis of sepsis were derived from robust databases, restricted, however, to developed countries. Since then, the criteria have been supported in different clinical settings and in different economic and epidemiological contexts, but still raise discussion regarding their use for the identification versus the prognostication of the septic patient. Clinicians should not be restricted to definition criteria when evaluating patients with infection and should wisely use the broad array of information obtained by rigorous clinical observation.
Subject(s)
Humans , Sepsis/physiopathology , Sepsis/immunology , Sepsis/diagnosis , Sepsis/metabolism , Lactic Acid/blood , Organ Dysfunction Scores , Medical IllustrationABSTRACT
Objective@#To describe and compare the epidemiology of Sepsis-1 and Sepsis-3 in Yuetan Subdistrict of Beijing, and to estimate the incidence of Sepsis-3 in China.@*Methods@#A population-based cohort study was conducted. Through the database of Beijing Public Health Information System, the medical records of all adult residents hospitalized from July 1st, 2012 to June 30th, 2014 in Yuetan Subdistrict were reviewed. According to the clinical data of these patients, patients with Sepsis-1 and Sepsis-3 were enrolled in this analysis and the demographic characteristics of them were compared. Incidence and in-hospital mortality was calculated. Logistic regression method was used to analyze the risk factors of sepsis.@*Results@#Compared with non-septic patients with infections, patients with Sepsis-1 or Sepsis-3 were more likely to be male, older, had more comorbidities and lower body mass index (BMI), had more lower respiratory tract infections, more intra-abdominal infections and more blood flow infections, but had fewer urogenital tract infections, fewer upper respiratory tract infections, fewer gastrointestinal infections and fewer skin and soft tissue infections, and had pure prognosis with longer length of hospital stay [days, Sepsis-1 compared with non-Sepsis-1: 18 (10, 34) vs. 14 (9, 22), Sepsis-3 compared with non-Sepsis-3: 20 (11, 39) vs. 14 (9, 25)] and higher mortality [Sepsis-1 compared with non-Sepsis-1: 20.6% (353/1 716) vs. 2.5% (44/1 733), Sepsis-3 compared with non-Sepsis-3: 32.0% (299/935) vs. 3.9% (98/2 514), all P < 0.01]. Logistic regression analysis showed that male, elder (age ≥ 65 years old), low BMI, bed-rest state, and combined with cerebrovascular disease and hematological malignancies were risk factors for Sepsis-1 [all odds ratio (OR) > 1, all P < 0.05], while the male, elder (age ≥ 65 years old), low BMI, bed-rest state, and combined with cerebrovascular disease, rheumatic immune disease, malignant diseases of blood system and dementia were risk factors for Sepsis-3 (all OR > 1, all P < 0.05). Sepsis-3 was more common in males [OR = 1.19, 95% confidence interval (95%CI) was 1.01-1.40, P < 0.05] and elderly patients (age 65-84 years old: OR = 1.60, 95%CI was 1.28-1.99, P < 0.01; age ≥ 85 years old: OR = 1.76, 95%CI was 1.39-2.23, P < 0.01) as compared with Sepsis-1. After adjusted for gender and age, the standardized incidence of Sepsis-1 was 461 per 100 000 person-year, and that of Sepsis-3 was 236 per 100 000 person-year, with the standardized mortality of 79 per 100 000 person-year and 67 per 100 000 person-year, respectively, in Yuetan Subdistrict of Beijing. Corresponding to a speculative extrapolation of 4 856 532 new cases for Sepsis-1 and 2 487 949 new cases for Sepsis-3, there were 831 674 deaths and 700 437 deaths per year in China, respectively.@*Conclusions@#Male, elder, more comorbidities and low BMI were risk factors for sepsis. The standardized incidence of Sepsis-3 in Yuetan Subdistrict of Beijing was 236 per 100 000 person-year, and speculated there were 2.5 million new cases of Sepsis-3 per year, resulting in more than 700 000 deaths in China. According to the diagnostic criterion of Sepsis-3, 2.36 million new cases per year were reduced, and the mortality was increased by 11.4%, as compared with the criterion of Sepsis-1.
ABSTRACT
Background:@#Sepsis-3 definitions have been published recently; however, their diagnostic value remains controversial. This study was to assess the accuracy of Sepsis-3 definitions compared to Sepsis-1 definitions by stratifying mortality among adult critically ill patients with suspected infection.@*Methods:@#A multicenter, prospective cohort study was conducted from November 10, 2017 to October 10, 2018, in five Intensive Care Units (ICUs) at four teaching hospitals. Thirty-day mortality was compared across categories for both Sepsis-3 definitions and Sepsis-1 definitions, which were evaluated by logistic regression analysis followed by measurement of the area under the receiver operating characteristic curve (AUROC) for predicting 30-day mortality rates.@*Results:@#Of the 749 enrolled patients, 644 (85.9%) were diagnosed with sepsis according to the Sepsis-1 definitions. Among those patients, 362 were diagnosed with septic shock (362/749, 48.3%). However, according to the Sepsis-3 definitions, there were 483 patients with a diagnosis of sepsis (483/749, 64.5%), among whom 299 patients were diagnosed with septic shock (299/749, 39.9%). According to the Sepsis-3 definitions, sepsis (sepsis and septic shock) patients had higher 30-day mortality (41.8%) than sepsis patients according to the Sepsis-1 definitions (31.8%, χ2 = 5.552, P = 0.020). The AUROC of systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) scores with regard to 30-day mortality rates were 0.609 (0.566–0.652) and 0.694 (0.654–0.733), respectively. However, the AUROC of SOFA scores (0.828 [0.795–0.862]) were significantly higher than that of SIRS or qSOFA scores (P < 0.001).@*Conclusion:@#In adult critically ill patients with suspected infection, the Sepsis-3 definitions were relatively accurate in stratifying mortality and were superior to the Sepsis-1 definitions.@*Trial Registration:@#www.chictr.org.cn (ChiCTR-OOC-17013223).
ABSTRACT
Objective To describe and compare the epidemiology of Sepsis-1 and Sepsis-3 in Yuetan Subdistrict of Beijing, and to estimate the incidence of Sepsis-3 in China. Methods A population-based cohort study was conducted. Through the database of Beijing Public Health Information System, the medical records of all adult residents hospitalized from July 1st, 2012 to June 30th, 2014 in Yuetan Subdistrict were reviewed. According to the clinical data of these patients, patients with Sepsis-1 and Sepsis-3 were enrolled in this analysis and the demographic characteristics of them were compared. Incidence and in-hospital mortality was calculated. Logistic regression method was used to analyze the risk factors of sepsis. Results Compared with non-septic patients with infections, patients with Sepsis-1 or Sepsis-3 were more likely to be male, older, had more comorbidities and lower body mass index (BMI), had more lower respiratory tract infections, more intra-abdominal infections and more blood flow infections, but had fewer urogenital tract infections, fewer upper respiratory tract infections, fewer gastrointestinal infections and fewer skin and soft tissue infections, and had pure prognosis with longer length of hospital stay [days, Sepsis-1 compared with non-Sepsis-1: 18 (10, 34) vs. 14 (9, 22), Sepsis-3 compared with non-Sepsis-3: 20 (11, 39) vs. 14 (9, 25)] and higher mortality [Sepsis-1 compared with non-Sepsis-1: 20.6% (353/1 716) vs. 2.5% (44/1 733), Sepsis-3 compared with non-Sepsis-3: 32.0% (299/935) vs. 3.9% (98/2 514), all P < 0.01]. Logistic regression analysis showed that male, elder (age ≥ 65 years old), low BMI, bed-rest state, and combined with cerebrovascular disease and hematological malignancies were risk factors for Sepsis-1 [all odds ratio (OR) > 1, all P < 0.05], while the male, elder (age ≥ 65 years old), low BMI, bed-rest state, and combined with cerebrovascular disease, rheumatic immune disease, malignant diseases of blood system and dementia were risk factors for Sepsis-3 (all OR > 1, all P < 0.05). Sepsis-3 was more common in males [OR = 1.19, 95% confidence interval (95%CI) was 1.01-1.40, P < 0.05] and elderly patients (age 65-84 years old: OR = 1.60, 95%CI was 1.28-1.99, P < 0.01; age ≥ 85 years old: OR = 1.76, 95%CI was 1.39-2.23, P < 0.01) as compared with Sepsis-1. After adjusted for gender and age, the standardized incidence of Sepsis-1 was 461 per 100 000 person-year, and that of Sepsis-3 was 236 per 100 000 person-year, with the standardized mortality of 79 per 100 000 person-year and 67 per 100 000 person-year, respectively, in Yuetan Subdistrict of Beijing. Corresponding to a speculative extrapolation of 4 856 532 new cases for Sepsis-1 and 2 487 949 new cases for Sepsis-3, there were 831 674 deaths and 700 437 deaths per year in China, respectively. Conclusions Male, elder, more comorbidities and low BMI were risk factors for sepsis. The standardized incidence of Sepsis-3 in Yuetan Subdistrict of Beijing was 236 per 100 000 person-year, and speculated there were 2.5 million new cases of Sepsis-3 per year, resulting in more than 700 000 deaths in China. According to the diagnostic criterion of Sepsis-3, 2.36 million new cases per year were reduced, and the mortality was increased by 11.4%, as compared with the criterion of Sepsis-1.
ABSTRACT
Background@#With the publication of Sepsis-3 definition, epidemiological data based on Sepsis-3 definition from middle-income countries including China are scarce, which prohibits understanding of the disease burden of this newly defined syndrome in these settings. The purpose of this study was to describe incidence and outcome of Sepsis-3 in Yuetan sub-district of Beijing and to estimate the incidence rate of Sepsis-3 in China.@*Methods@#The medical records of all adult residents hospitalized from July 1, 2012 to June 30, 2014 in Yuetan sub-district of Beijing were reviewed. Patients with sepsis-3 and severe sepsis/septic shock were identified. The incidence rates and mortality rate of sepsis-3 and sepsis/septic shock were calculated, incidence rates and in-hospital mortality rates were normalized to the population distribution in the 2010 National Census. Population incidence rate and case fatality rate between sexes were compared with the Z test, as the data conformed to Poisson distribution.@*Results@#Of the 21,191 hospitalized patients, 935 patients were diagnosed with Sepsis-3, and 498 cases met severe sepsis/septic shock criteria. The crude annual incidence rate of Sepsis-3 in Yuetan sub-district was 363 cases per 100,000 population, corresponding to standardized incidence rates of 236 cases per 100,000 population per year, respectively. The overall case fatality rate of Sepsis-3 was 32.0%, the crude population mortality rates of Sepsis-3 was 116 cases per 100,000 population per year, the standardized mortality rate was 67 cases per 100,000 population per year, corresponding to a speculative extrapolation of 700,437 deaths in China. The incidence rate and mortality rate of Sepsis-3 were significantly higher in males, elderly people, and patients with more comorbidities. The 62.1% of patients with Sepsis-3 had community-acquired infections, compared with 75.3% of infected patients without Sepsis-3 (P < 0.001). The most common infection in patients with Sepsis-3 was lower respiratory tract infection. When compared with patients with Sepsis-3, patients diagnosed as severe sepsis/septic shock were more likely to have higher case fatality rate (53.4% vs. 32.0%, P < 0.001)@*Conclusions@#This study found the standardized incidence rate of 236 cases per 100,000 person-year for Sepsis-3, which was more common in males and elderly population. This corresponded to about 2.5 million new cases of Sepsis-3 per year, resulting in more than 700,000 deaths in China.@*Clinical trial registration@#NCT02285257, https://clinicaltrials.gov/ct2/show/record/NCT02285257.
ABSTRACT
Objective To investigate the estimated values of sequential organ failure assessment (SOFA) and quick SOFA (qSOFA) for diagnosis and prognosis in patients with sepsis according to the new diagnostic criteria in Sepsis 3.0.Methods A retrospective study was conducted.All the clinical data were collected from patients with definite diagnosis of infection and they were admitted into the Intensive Care Unit (ICU) of Beijing Traditional Chinese Medicine Hospital Affiliated to Capital Medical University from July 2014 to June 2016.The patients' gender,age,infectious location,respiratory rate (RR),oxygenation index (PaO2/FiO2),Glasgow coma scale (GCS),total bilirubin (TBil),platelet count (PLT),serum creatinine (SCr),serum lactate level,etc.general data on admission were collected to carry out SOFA and qSOFA scorings.And then the septic patients in accord with the diagnostic criteria of Sepsis 3.0 were screened out.According to outcome after admission,the septic patients were divided into survival group and death group,and the differences in diagnosis and in estimation value of prognosis between SOFA scoring and qSOFA scoring were assessed as SOFA group and qSOFA group.Results From 545 septic patients enrolled,189 septic patients consistent with the diagnostic criteria of Sepsis 3.0 were selected.In SOFA scoring group,the morbidity of septic patients was 34.68％,while in qSOFA scoring group,it was 15.96％,the difference between the two groups being statistically significant (P ＜0.01).The mortality was significantly lower in SOFA scoring group than that in qSOFA scoring group [28.04％ (53/189)vs.42.53％ (38/87),P ＜ 0.05].The mortality of qSOFA scoring group was about 1.52 times that of SOFA scoring group.On the aspect of scoring,in patients with SOFA scoring the score of death group was significantly higher than that in survival group (8.74 ± 0.417 vs.7.10 ± 0.235,P ＜ 0.01);in the patients with qSOFA scoring,the score in death group compared with that in survival group showed uo statistical significant difference (2.32 ± 0.48 vs.2.16 ± 0.37,P ＞ 0.05).On the aspect of laboratory indexes,the levels of GCS score in death group was significantly lower than that in the survival group (8.15 ± 0.67 vs.12.48 ± 0.36),blood lactate level in death group was significantly higher than that in the survival group (mmol/L:8.55 ± 4.66 vs.2.31 ± 0.16,P ＜ 0.01);the PaO2/FiO2,TBil,PLT and SCr showed no significant differences between the two groups (all P ＞ 0.05).Conclusions The new diagnostic criteria (Sepsis 3.0) can be used for diagnosis of sepsis in ICU.Compared with qSOFA scoring,the SOFA scoring is more suitable to be used for diagnosis and predicting prognosis of septic patients in ICU;SOFA scoring,GCS scoring and serum lactate level can be applied to estimate outcome of septic patients.
ABSTRACT
Objective To clinically validate the precision of diagnostic Sepsis-3 criteria, and to guide and generalize its clinical application.Methods A multicenter retrospective observational study was conducted. The patients admitted to intensive care unit (ICU) of 6 tertiary hospitals in Zhejiang Province from January to June 2015 were enrolled, and the patients satisfying the diagnostic criteria of Sepsis-2 and Sepsis-3 were screened. Population characteristics between the patients satisfying two editions were compared, and the diagnosis accuracy rate in different degree hospitals were investigated. According to the doctor's diagnosis, the patients who met the criteria of Sepsis-2 were divided into diagnosis group and non-diagnosis group, and the factors influencing the diagnosis of sepsis were analyzed by logistic regression. The patients meeting Sepsis-2 but no meeting Sepsis-3 were served as exclusion group, and those meeting Sepsis-2 and Sepsis-3 were served as enroll group, and the characteristics of patients between the two groups were compared. Receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of systemic inflammatory response syndrome (SIRS) score, sepsis-related quick sequential organ failure assessment (qSOFA) and sequential organ failure assessment (SOFA) on death, and whether the consistency of qSOFA and SOFA would affect the sensitivity of definition. The patients meeting Sepsis-2 were divided into non-survived group and survived group, and the factors associated with death were analyzed by logistic regression.Results Finally, 1423 patients were enrolled, 3 patients with age 0.05) except for acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score [19.10 (8.00) vs. 20.28 (8.00),P 0.05], longer length of ICU stay [days: 22.42 (22.00) vs. 15.13 (16.00),P < 0.01], and higher 28-day mortality [45.29% (149/329) vs. 14.71% (5/34),P < 0.01], indicating that the diagnostic efficiency of Sepsis-2 was low, the diagnostic specificity of Sepsis-3 was high, and the prognosis of Sepsis-3 patients was worse. It was shown by ROC curve analysis that the prognostic value of SIRS, qSOFA and SOFA to mortality was gradually increased [area under ROC curve (AUC) was 0.567, 0.597, 0.683, respectively], but the prognostic value were all low. Comparing patients meeting qSOFA and (or) SOFA in Sepsis-2, significant differences were found in APACHE Ⅱ score [17.55 (7.00) vs. 23.24 (8.00)] and 28-day mortality [38.75% (31/80) vs. 58.59% (75/128), bothP < 0.01]. The patients who just met the qSOFA or SOFA, their 28-day mortality was up to 38.75%, suggesting that qSOFA should not be ignored. Compared with survived group, the patients in survived group were older with higher APACHE Ⅱ score and shorter length of ICU stay (allP < 0.05). It was shown by logistic regression analysis that APACHE Ⅱ score (OR = 1.199,P = 0.000) and length of ICU stay (OR = 0.949,P = 0.000) were related with death.Conclusion Patients satisfied Sepsis-3 were easier to develop more organ failure, Sepsis-3 and higher death prediction than Sepsis-2 and higher diagnosis specificity, but data shows that there is extra room for improvement.